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Robotics Training Courses

Robotics training is available as "onsite live training" or "remote live training". Onsite live Robotics training can be carried out locally on customer premises in Denmark or in NobleProg corporate training centers in Denmark. Remote live training is carried out by way of an interactive, remote desktop.

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Robotics sounds very complex etc, and Richard help us see this in a more friendly way and the possibilities the tool has.

Robotics Subcategories

Robotics Course Outlines

ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones.

This instructor-led, live training (onsite or remote) is aimed at developers and technical persons who wish to design and develop an unmanned drone.

By the end of this training, participants will be able to:

- Setup a suitable development environment.- Select and apply the right tools for programming a drone.- Understand and configure the firmware, middleware and API stack.- Test and debug their code using drone simulation software.

Format of the course

- Interactive lecture and discussion.- Lots of exercises and practice.- Hands-on implementation in a live-lab environment.

Course Customization Options

- This training is based on the open source autopilot software: ArduPilot.- To request a customized training for this course, please contact us to arrange.

The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots.

In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure

By the end of this training, participants will be able to:

- Learn the fundamentals of intelligent bots- Learn how to create intelligent bots using cloud applications- Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service- Understand how to design bots using bot patterns- Develop their first intelligent bot using Microsoft Azure

Audience

- Developers- Hobbyists- Engineers- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

By the end of this training, participants will be able to:

- Build and operate a robotic system that includes both software and hardware components- Understand the key concepts used in robotic technologies- Assemble motors, sensors and microcontrollers into a working robot- Design the mechanical structure of a robot

Audience

- Developers- Engineers- Hobbyists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:

A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.

In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.

By the end of this training, participants will be able to:

- Understand the different uses and applications of bots- Understand the complete process in developing bots- Explore the different tools and platforms used in building bots- Build a sample chatbot for Facebook Messenger- Build a sample chatbot using Microsoft Bot Framework

Audience

- Developers interested in creating their own bot

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics.

In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial.

By the end of this training, participants will be able to:

- Install and configure ROS-Industrial- Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes- Create simple ROS-I applications- Build, test, deploy, and troubleshoot a new robot with ROS-I

Audience

- Programmers- Developers- Engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies- Understand and manage the interaction between software and hardware in a robotic system- Understand and implement the software components that underpin Smart Robots- Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice- Extend a Smart Robot's ability to perform complex tasks through Deep Learning- Test and troubleshoot a Smart Robot in realistic scenarios

Audience

- Developers- Engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.